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Projection-Free Online Optimization with Stochastic Gradient: From
  Convexity to Submodularity

Projection-Free Online Optimization with Stochastic Gradient: From Convexity to Submodularity

22 February 2018
Lin Chen
Christopher Harshaw
Hamed Hassani
Amin Karbasi
ArXivPDFHTML

Papers citing "Projection-Free Online Optimization with Stochastic Gradient: From Convexity to Submodularity"

18 / 18 papers shown
Title
Decentralized Projection-free Online Upper-Linearizable Optimization with Applications to DR-Submodular Optimization
Decentralized Projection-free Online Upper-Linearizable Optimization with Applications to DR-Submodular Optimization
Yiyang Lu
M. Pedramfar
Vaneet Aggarwal
88
0
0
30 Jan 2025
From Linear to Linearizable Optimization: A Novel Framework with
  Applications to Stationary and Non-stationary DR-submodular Optimization
From Linear to Linearizable Optimization: A Novel Framework with Applications to Stationary and Non-stationary DR-submodular Optimization
M. Pedramfar
Vaneet Aggarwal
36
3
0
27 Apr 2024
A Unified Approach for Maximizing Continuous DR-submodular Functions
A Unified Approach for Maximizing Continuous DR-submodular Functions
M. Pedramfar
Christopher J. Quinn
Vaneet Aggarwal
19
7
0
26 May 2023
Fast Submodular Function Maximization
Fast Submodular Function Maximization
Lianke Qin
Zhao Song
Yitan Wang
34
10
0
15 May 2023
Projection-Free Online Convex Optimization with Stochastic Constraints
Projection-Free Online Convex Optimization with Stochastic Constraints
Duksang Lee
Nam Ho-Nguyen
Dabeen Lee
21
3
0
02 May 2023
Stochastic Submodular Bandits with Delayed Composite Anonymous Bandit Feedback
Stochastic Submodular Bandits with Delayed Composite Anonymous Bandit Feedback
M. Pedramfar
Vaneet Aggarwal
30
2
0
23 Mar 2023
Projection-free Online Exp-concave Optimization
Projection-free Online Exp-concave Optimization
Dan Garber
Ben Kretzu
26
8
0
09 Feb 2023
Distributed Projection-free Algorithm for Constrained Aggregative
  Optimization
Distributed Projection-free Algorithm for Constrained Aggregative Optimization
Tong-Chai Wang
Peng Yi
6
19
0
25 Jul 2022
Compression-aware Training of Neural Networks using Frank-Wolfe
Compression-aware Training of Neural Networks using Frank-Wolfe
Max Zimmer
Christoph Spiegel
Sebastian Pokutta
31
9
0
24 May 2022
Online Nonsubmodular Minimization with Delayed Costs: From Full
  Information to Bandit Feedback
Online Nonsubmodular Minimization with Delayed Costs: From Full Information to Bandit Feedback
Tianyi Lin
Aldo Pacchiano
Yaodong Yu
Michael I. Jordan
31
0
0
15 May 2022
New Projection-free Algorithms for Online Convex Optimization with
  Adaptive Regret Guarantees
New Projection-free Algorithms for Online Convex Optimization with Adaptive Regret Guarantees
Dan Garber
Ben Kretzu
29
21
0
09 Feb 2022
A Boosting Approach to Reinforcement Learning
A Boosting Approach to Reinforcement Learning
Nataly Brukhim
Elad Hazan
Karan Singh
37
13
0
22 Aug 2021
Improved Regret Bounds for Online Submodular Maximization
Improved Regret Bounds for Online Submodular Maximization
Omid Sadeghi
P. Raut
Maryam Fazel
24
4
0
15 Jun 2021
Online Boosting with Bandit Feedback
Online Boosting with Bandit Feedback
Nataly Brukhim
Elad Hazan
23
10
0
23 Jul 2020
Submodular Meta-Learning
Submodular Meta-Learning
Arman Adibi
Aryan Mokhtari
Hamed Hassani
CLL
25
5
0
11 Jul 2020
Continuous Submodular Maximization: Beyond DR-Submodularity
Continuous Submodular Maximization: Beyond DR-Submodularity
Moran Feldman
Amin Karbasi
19
5
0
21 Jun 2020
Faster Projection-free Online Learning
Faster Projection-free Online Learning
Elad Hazan
Edgar Minasyan
25
58
0
30 Jan 2020
A Linearly Convergent Conditional Gradient Algorithm with Applications
  to Online and Stochastic Optimization
A Linearly Convergent Conditional Gradient Algorithm with Applications to Online and Stochastic Optimization
Dan Garber
Elad Hazan
66
96
0
20 Jan 2013
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